A Heuristic Algorithm for DJ Cue Point Estimation

Diemo Schwarz (1) , Daniel Artur Schindler , Severino Spadavecchia

1 Interaction Son Musique Mouvement

This article treats an aspect in a larger research agenda to understand DJ practices, which are an important part of popular music culture: We present a heuristic algorithm that estimates cue points where tracks should cross-fade in a DJ mix. We deduced statistics and heuristics from a list of rules provided by human experts, and from a database of example tracks with given cue regions. We then created an algorithm for cue-point estimation based on rich automatic annotations by state of the art MIR methods, such as music structure segmentation and beat tracking. The results were evaluated quantitatively on the example database and qualitatively by experts.

Mots clés: MIR; music information retrieval; DJ mix analysis

Domaines: Traitement du signal et de l'image [eess.SP]; Recherche d'information [cs.IR]; Musique, musicologie et arts de la scène

Diemo Schwarz, Daniel Artur Schindler, Severino Spadavecchia. A Heuristic Algorithm for DJ Cue Point Estimation. Sound and Music Computing, Jul 2018, Limassol, Cyprus. ⟨hal-01857834⟩